{"id":"W4387300161","doi":"10.1117/12.2678048","title":"Compressed ultrahigh-speed and reconfigurable single-pixel imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Digital micromirror device; Pixel; Computer science; Frame rate; Compressed sensing; Transmission (telecommunications); Frame (networking); Projection (relational algebra); Reflection (computer programming); Computer hardware; Artificial intelligence; Computer vision; Optics; Computer graphics (images); Physics; Algorithm; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000911324,0.00010419,0.0001479319,0.00004707667,0.00009112458,0.00009072077,0.00006911708,0.00001125005,0.0007765798],"category_scores_gemma":[0.000003054717,0.00008165362,0.00004127974,0.0001078663,0.00003734419,0.00009620492,0.00001131078,0.00006363999,0.0001619702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003560124,"about_ca_system_score_gemma":0.00000745429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143746,"about_ca_topic_score_gemma":0.000001741517,"domain_scores_codex":[0.9993992,0.00001594472,0.0001209643,0.0001734641,0.00007044201,0.0002199775],"domain_scores_gemma":[0.9996514,0.00009524559,0.00002866584,0.000127052,0.00001813841,0.00007954296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005401153,0.0001185048,0.08312378,0.00003708404,0.0001138746,0.00001285659,0.0009494617,0.0001630216,0.7434851,0.004781197,0.06684807,0.100313],"study_design_scores_gemma":[0.01735833,0.0001625915,0.0744498,0.000271775,0.0001725323,0.00001673063,0.00668673,0.07007328,0.4850111,0.02449325,0.3188669,0.002437056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8473655,0.00002218323,0.001058284,0.0009621598,0.0002680418,0.0001214264,0.00001359712,0.0001546435,0.1500342],"genre_scores_gemma":[0.9943402,0.000002763156,0.00008298631,0.00008717277,0.0001489946,0.000005366923,0.00003455623,0.00001325174,0.005284718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2584741,"threshold_uncertainty_score":0.8503005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419311957592057,"score_gpt":0.2199366900435197,"score_spread":0.2057435704675991,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}